Raymond Zhang

4 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

NeurIPS (2) ACL (1) COLT (1)

Top co-authors

Richard Combes (2) Daniel Smith (1) Neha Nayak Kennard (1) Hadiji Hédi (1) Daniel McFarland (1) Combes Richard (1) Andrew McCallum (1) Katherine Keith (1)

Research topics

Artificial Intelligence (3) Machine Learning (2) Mathematics & Optimization (2) Bayesian & Probabilistic · Artificial Intelligence (2) Learning Types (2) Optimization (2) Optimization & Theory (2) Bayesian & Probabilistic · Machine Learning (1) Core AI (1) Learning Paradigms (1) Mathematics (1)

Keywords

thompson sampling (2) bayesian inference (1) posterior sampling (1) posterior distribution (1) minimax regret (1) regret (1) regret bound (1) combinatorial semi-bandit (1) combinatorial bandit (1) text embedding (1) information-theoretic lower bound (1) peer review (1) forced exploration (1) propensity score matching (1) nearest neighbor matching (1) subgaussian reward (1) variable ratio matching (1) linear combinatorial semi-bandit (1) mismatched sampling (1) polynomial regret (1)

Papers

Linear Bandits on Ellipsoids: Minimax Optimal Algorithms COLT 2025 Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NeurIPS 2024 Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies ACL 2023 On the Suboptimality of Thompson Sampling in High Dimensions NeurIPS 2021